In this subsection, we elaborate on evidential deep learning to quantify the classification uncertainty for each of multiple views, which simultaneously models the probability of each class and overall uncertainty of the current prediction. In the context of multi-class classification, Subjective logic (SL) [1]} associates the parameters of the Dirichlet distribution (Definition REF  in the Appendix) with the belief distribution, where the Dirichlet distribution can be considered as the conjugate prior of the categorical distribution [2]}.
